25 October 1994 Text-dependent speaker verification using data fusion and channel detection
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Abstract
A new system is presented for text-dependent speaker verification. The system uses data fusion concepts to combine the results of distortion-based and discriminant-based classifiers. Hence, both intraspeaker and interspeaker information are utilized in the final decision. The distortion and discriminant-based classifiers used are dynamic time warping and the neural tree network, respectively. The system is evaluated with several hundred one word utterances collected over a telephone channel. All handsets considered in this experiment use electret microphones. The new system is found to perform exceptionally well for this task. A second experiment uses handsets having both electret and carbon button microphones. Here, a channel detection scheme is proposed that improves performance under these conditions.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Khaled T. Assaleh, Khaled T. Assaleh, Kevin R. Farrell, Kevin R. Farrell, M. S. Zilovic, M. S. Zilovic, Manish Sharma, Manish Sharma, Devang K. Naik, Devang K. Naik, Richard J. Mammone, Richard J. Mammone, } "Text-dependent speaker verification using data fusion and channel detection", Proc. SPIE 2277, Automatic Systems for the Identification and Inspection of Humans, (25 October 1994); doi: 10.1117/12.191869; https://doi.org/10.1117/12.191869
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